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Membership of the Royal College of General Practitioners (MRCGP) Applied Knowledge Test (AKT): Evidence, Administration and Health Informatics Syllabus

The Applied Knowledge Test (AKT): Evidence, Administration and Health Informatics syllabus for Membership of the Royal College of General Practitioners (MRCGP) in full: 4 chapters, 22 topics and 18 sub-topics, every one listed below, plus 58 Applied Knowledge Test (AKT): Evidence, Administration and Health Informatics flashcards with answers.

4Chapters
22Topics
18Sub-topics
58Flashcards

Applied Knowledge Test (AKT): Evidence, Administration and Health Informatics syllabus: all 4 chapters

Expand any chapter to see its topics and sub-topics.

  1. Critical Appraisal and Evidence-Based Practice

    6 topics
    • Study design hierarchy and bias
      • RCTs, cohort, case-control and cross-sectional studies
      • Confounding, selection and measurement bias
    • Statistical concepts and tests
      • P-values, confidence intervals and statistical power
      • Parametric vs non-parametric tests
    • Diagnostic test performance
      • Sensitivity, specificity, predictive values
      • Likelihood ratios and ROC curves
    • Treatment effect measures
      • Relative and absolute risk reduction
      • Number needed to treat and harm
    • Systematic reviews, meta-analysis and forest plots
    • Screening principles and Wilson-Jungner criteria
  2. Health Informatics and Data in Primary Care

    5 topics
    • Reading and interpreting forest plots and graphs
    • Epidemiological measures
      • Incidence, prevalence and mortality rates
      • Standardised mortality ratios
    • Coding, audit and clinical data systems
    • Quality improvement methodology
      • Audit cycle and PDSA cycles
      • Significant event analysis
    • Confidentiality and data protection (GDPR)
  3. Practice Organisation and Regulatory Frameworks

    6 topics
    • Fitness to work and sickness certification (Med3/fit notes)
    • Death certification and cremation processes
      • Medical certificate of cause of death
      • Referral to the coroner and medical examiner
    • DVLA fitness to drive standards
    • Benefits, disability and capacity-for-work assessments
    • NHS structure, commissioning and contracts
      • GP contract and QOF
      • Primary care networks
    • Notifiable diseases and public health reporting
  4. Prescribing, Pharmacology and Therapeutics

    5 topics
    • Pharmacokinetics and dosing in special populations
      • Prescribing in renal and hepatic impairment
      • Prescribing in pregnancy and breastfeeding
    • Drug interactions and adverse drug reactions
    • Controlled drugs and safe opioid prescribing
    • Polypharmacy and deprescribing in older adults
    • Therapeutic monitoring and yellow card reporting

Membership of the Royal College of General Practitioners (MRCGP) Applied Knowledge Test (AKT): Evidence, Administration and Health Informatics flashcards — 58 questions with answers

  1. Rank the main study designs from strongest to weakest in the evidence hierarchy.

    From strongest to weakest: systematic reviews/meta-analyses of RCTs > individual RCTs > cohort studies > case-control studies > cross-sectional studies > case series/case reports > expert opinion.

  2. What is selection bias, and give a classic example?

    Selection bias is a systematic error from how participants are recruited or retained, so the sample is not representative. Example: healthy worker effect, where employed people are healthier than the general population, distorting occupational study results.

  3. Define recall bias and the study design most prone to it.

    Recall bias is differential accuracy of memory between groups (e.g. cases recall exposures more readily than controls). It most affects case-control studies, which rely on retrospective exposure recall.

  4. What is a confounder, and name three ways to control for it.

    A confounder is a variable associated with both the exposure and the outcome that is not on the causal pathway. Control methods: at design stage by randomisation, restriction, or matching; at analysis stage by stratification or multivariable regression.

  5. Differentiate the null hypothesis and the alternative hypothesis.

    The null hypothesis ($H_{0}$) states there is no difference or no association. The alternative hypothesis ($H_{1}$) states there is a real difference or association. A study seeks to reject $H_{0}$.

  6. Define the p-value and the conventional significance threshold.

    The p-value is the probability of obtaining results at least as extreme as observed if the null hypothesis were true. Conventionally $p < 0.05$ is taken as statistically significant.

  7. Distinguish a Type I from a Type II error.

    A Type I error ($\alpha$) is rejecting a true null hypothesis (false positive). A Type II error ($\beta$) is failing to reject a false null hypothesis (false negative). Statistical power $= 1 - \beta$.

  8. What does a 95% confidence interval represent, and when is a difference/ratio significant?

    A 95% CI is the range within which the true population value lies with 95% confidence. A difference is significant if its CI excludes $0$; a ratio (RR/OR/HR) is significant if its CI excludes $1$.

  9. Which statistical test compares means between two independent normally distributed groups?

    The unpaired (independent) Student's $t$-test. For more than two groups use ANOVA; for paired/repeated measures use the paired $t$-test.

  10. Which test is used to compare proportions or categorical data in a contingency table?

    The chi-squared ($\chi^{2}$) test. Fisher's exact test is used instead when expected cell counts are small (typically $< 5$).

  11. When should a non-parametric test (e.g. Mann-Whitney U) be used instead of a t-test?

    When data are not normally distributed, are ordinal, or have small sample sizes. The Mann-Whitney U test is the non-parametric equivalent of the unpaired $t$-test; the Wilcoxon signed-rank test replaces the paired $t$-test.

  12. Define sensitivity and give its formula.

    Sensitivity is the proportion of people with the disease who test positive (true positive rate): $$\text{Sensitivity} = \frac{TP}{TP + FN}$$ A highly sensitive test, when negative, rules out disease (SnNOut).

  13. Define specificity and give its formula.

    Specificity is the proportion of people without the disease who test negative (true negative rate): $$\text{Specificity} = \frac{TN}{TN + FP}$$ A highly specific test, when positive, rules in disease (SpPIn).

  14. Give the formulas for positive and negative predictive value.

    $$PPV = \frac{TP}{TP + FP}, \qquad NPV = \frac{TN}{TN + FN}$$ Predictive values depend on disease prevalence, unlike sensitivity and specificity.

  15. What are likelihood ratios, and why are they clinically useful?

    $$LR^{+} = \frac{\text{sensitivity}}{1-\text{specificity}}, \qquad LR^{-} = \frac{1-\text{sensitivity}}{\text{specificity}}$$ They are prevalence-independent and convert pre-test to post-test odds. $LR^{+} > 10$ or $LR^{-} < 0.1$ give large, often conclusive shifts in probability.

  16. What does the area under a ROC curve indicate?

    The ROC curve plots sensitivity against $1-\text{specificity}$ across thresholds. The area under the curve (AUC) measures overall discriminative ability: $0.5$ = no better than chance, $1.0$ = perfect discrimination.

  17. Define absolute risk reduction (ARR) and relative risk reduction (RRR).

    $$ARR = \text{CER} - \text{EER}, \qquad RRR = \frac{\text{CER} - \text{EER}}{\text{CER}}$$ where CER is control event rate and EER is experimental event rate. RRR often appears larger and can be misleading without the ARR.

  18. Define number needed to treat (NNT) and how it is calculated.

    NNT is the number of patients who must be treated for one to benefit: $$NNT = \frac{1}{ARR}$$ Always round up to the next whole number. The number needed to harm (NNH) uses absolute risk increase.

  19. Compare relative risk and odds ratio, including which study design uses each.

    Relative risk (RR) = risk in exposed / risk in unexposed, used in cohort studies and RCTs. Odds ratio (OR) = odds in exposed / odds in unexposed, used in case-control studies. OR approximates RR when the outcome is rare.

  20. What is a hazard ratio?

    A hazard ratio (HR) compares the instantaneous event rate (hazard) between two groups over time, derived from survival/time-to-event analysis (e.g. Cox regression). $HR = 1$ means no difference; $HR < 1$ favours treatment.

Show the other 38 Applied Knowledge Test (AKT): Evidence, Administration and Health Informatics flashcards
  1. What is heterogeneity in a meta-analysis and how is it quantified?

    Heterogeneity is variability in results across included studies beyond chance. It is assessed with the $I^{2}$ statistic ($> 50\%$ suggests substantial heterogeneity) and the chi-squared (Cochran's Q) test.

  2. Distinguish fixed-effect from random-effects meta-analysis models.

    A fixed-effect model assumes one true underlying effect and that differences are due to chance only. A random-effects model assumes effects vary between studies and gives wider confidence intervals; it is preferred when significant heterogeneity exists.

  3. What is a funnel plot used to detect?

    A funnel plot detects publication bias. Each study's effect size is plotted against its precision (e.g. standard error). Symmetry suggests no bias; asymmetry (missing small negative studies) suggests publication bias.

  4. On a forest plot, what do the vertical 'line of no effect', the diamond, and the box sizes represent?

    The vertical line of no effect sits at $1$ for ratios or $0$ for differences. The diamond is the pooled summary estimate with its CI. Each square is a study's point estimate, its size proportional to that study's weight; the horizontal line is its CI.

  5. On a forest plot, how do you tell if an individual study and the pooled result are statistically significant?

    An individual study is significant if its horizontal CI line does not cross the line of no effect. The pooled result is significant if the diamond does not touch or cross the line of no effect.

  6. List the key Wilson and Jungner criteria for a screening programme.

    The condition should be an important health problem with a recognisable latent/early stage and understood natural history. There should be a suitable, acceptable test, an accepted effective treatment, agreed policy on whom to treat, available facilities, and the cost should be balanced against benefit; screening should be a continuous process.

  7. Define lead-time bias and length-time bias in screening.

    Lead-time bias: screening appears to prolong survival merely by diagnosing disease earlier, without delaying death. Length-time bias: screening preferentially detects slow-growing, less aggressive disease, falsely improving apparent outcomes.

  8. Define incidence and prevalence, and state how they relate.

    Incidence is the number of new cases in a population over a time period; prevalence is the total number of existing cases at a point or period. Approximately, $$\text{prevalence} \approx \text{incidence} \times \text{duration}$$ for stable chronic conditions.

  9. Differentiate standardised mortality ratio (SMR) and its interpretation.

    $$SMR = \frac{\text{observed deaths}}{\text{expected deaths}} \times 100$$ An SMR of $100$ equals the reference population; $> 100$ indicates excess mortality, $< 100$ indicates lower mortality than expected.

  10. Distinguish QALY and DALY as measures of disease burden.

    A QALY (quality-adjusted life year) measures health gain combining quantity and quality of life, used in cost-utility analysis (NICE uses a threshold around \pounds20{,}000-30{,}000 per QALY). A DALY (disability-adjusted life year) measures disease burden as years of life lost plus years lived with disability.

  11. In UK primary care, what coding system is used and what replaced Read codes?

    SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms) is the mandated clinical coding standard in NHS primary care, having replaced Read codes (which were retired in 2018-2020).

  12. Describe the stages of the clinical audit cycle.

    1) Identify a problem and set standards/criteria; 2) collect data on current practice; 3) compare performance against the standard; 4) implement change; 5) re-audit (collect data again) to 'close the loop' and confirm improvement.

  13. How does clinical audit differ from research?

    Audit measures practice against an existing accepted standard to improve local care and does not test new interventions or generate new knowledge; it usually needs no ethics approval. Research tests a hypothesis to create generalisable new knowledge and requires ethical approval.

  14. What is the Plan-Do-Study-Act (PDSA) cycle in quality improvement?

    PDSA is an iterative method for testing change on a small scale: Plan a change, Do (implement on a small test), Study the results/data, Act (adopt, adapt, or abandon), then repeat. Multiple ramped cycles build toward sustained improvement.

  15. What is a driver diagram in quality improvement?

    A driver diagram is a structured tool linking an overall aim to primary drivers (high-level factors needed to achieve the aim) and secondary drivers (specific areas/interventions), helping identify and prioritise change ideas.

  16. State the lawful bases for processing personal data under UK GDPR relevant to healthcare.

    Processing requires a lawful basis (e.g. consent, contract, legal obligation, vital interests, public task, legitimate interests). Health data is special-category data needing an additional Article 9 condition, commonly provision of health/social care or public health.

  17. What are the key data protection principles and individual rights under UK GDPR?

    Principles: lawfulness/fairness/transparency, purpose limitation, data minimisation, accuracy, storage limitation, integrity/confidentiality (security), and accountability. Rights include access (subject access request), rectification, erasure, restriction, portability, and objection.

  18. Summarise the Caldicott principles governing use of patient-identifiable information.

    They require a justified purpose for using confidential data, using it only when necessary, the minimum necessary, on a strict need-to-know basis, with everyone aware of their responsibilities, compliance with the law, and recognition that the duty to share can be as important as the duty to protect.

  19. When can a Med3 (fit note) be issued, and what are its two options?

    A Med3 can be issued after the first 7 days of illness (patients self-certify the first 7 days, e.g. via SC2). It states the patient is either 'not fit for work' or 'may be fit for work' with suggested adjustments (phased return, amended duties, altered hours, workplace adaptations).

  20. Who can now issue fit notes, and for how long can one be issued?

    Since 2022, fit notes can be issued by doctors, nurses, occupational therapists, pharmacists, and physiotherapists. In the first 6 months of an illness a fit note can cover a maximum of 3 months; after 6 months it may be for a longer/indefinite period.

  21. Who can complete the Medical Certificate of Cause of Death (MCCD), and what change came with medical examiners?

    Since 2024, any registered doctor who attended the deceased in life can complete the MCCD (the previous '14-day attendance' rule was removed). All deaths in England and Wales not referred to the coroner must now be reviewed by an independent medical examiner before registration.

  22. When must a death be referred to the coroner?

    Refer when the cause is unknown, the death was violent/unnatural/suspicious, due to an accident, suicide, neglect, industrial disease, in custody/state detention, during or shortly after a procedure, or no doctor can certify the cause.

  23. Outline the DVLA group 1 driving rules after a single unprovoked epileptic seizure and after a TIA/stroke.

    First unprovoked/single seizure: must stop driving and not drive for 6 months (group 1). Single TIA or stroke: must not drive for 1 month, may resume if clinically recovered (no need to inform DVLA unless deficits persist or multiple TIAs).

  24. State the DVLA group 1 rules after an MI/ACS and for relevant diabetes on insulin.

    After MI/ACS treated successfully (with PCI), stop driving for 1 week; if no intervention, 4 weeks; DVLA need not be notified for group 1. Insulin-treated drivers must notify DVLA, have awareness of hypoglycaemia, no more than one severe hypo while awake in 12 months, and monitor glucose appropriately.

  25. Whose legal duty is it to notify the DVLA of a relevant medical condition, and what should a GP do if a patient continues to drive against advice?

    It is the patient's (driver's) legal duty to inform the DVLA. If a patient continues driving despite being unfit and refuses to stop, the GP should make every effort to persuade them, then may breach confidentiality and inform the DVLA medical adviser in the public interest, informing the patient first.

  26. What is the Work Capability Assessment, and which benefit replaced Disability Living Allowance for working-age adults?

    The Work Capability Assessment determines eligibility for Employment and Support Allowance / Universal Credit limited-capability elements, assessing functional ability via descriptors and points. Personal Independence Payment (PIP) replaced Disability Living Allowance for working-age adults, with daily living and mobility components.

  27. State the five principles of the Mental Capacity Act 2005.

    1) Presumption of capacity; 2) support people to make their own decision; 3) unwise decisions do not equal lack of capacity; 4) decisions for those lacking capacity must be in their best interests; 5) choose the least restrictive option. Capacity is decision- and time-specific.

  28. List notifiable diseases a UK doctor must report and to whom.

    Suspected notifiable diseases (e.g. measles, mumps, rubella, meningococcal disease, TB, food poisoning, cholera, diphtheria, acute hepatitis, whooping cough) must be reported to the local authority 'proper officer' / UKHSA, urgently and without waiting for laboratory confirmation.

  29. How do clearance and half-life change drug dosing in renal and hepatic impairment?

    Reduced renal clearance prolongs the elimination half-life of renally excreted drugs (e.g. gentamicin, digoxin, metformin), requiring dose reduction or interval extension. Hepatic impairment reduces metabolism of liver-cleared drugs and lowers first-pass clearance, also requiring dose reduction. Loading dose depends on volume of distribution, not clearance.

  30. What is therapeutic drug monitoring and name key drugs requiring it?

    Therapeutic drug monitoring measures plasma drug levels to keep concentrations within a narrow therapeutic range and avoid toxicity. Examples: digoxin, lithium, theophylline/aminophylline, phenytoin, gentamicin/vancomycin, and ciclosporin. Lithium is typically measured 12 hours post-dose.

  31. Distinguish pharmacokinetic from pharmacodynamic drug interactions, with the main CYP enzyme effects.

    Pharmacokinetic interactions alter absorption, distribution, metabolism, or excretion (e.g. CYP450 enzyme inducers such as rifampicin/carbamazepine reduce drug levels; inhibitors such as macrolides, azoles, and grapefruit juice raise levels). Pharmacodynamic interactions alter drug effect at the site of action (e.g. additive serotonergic or bleeding risk).

  32. Classify adverse drug reactions using the Type A/Type B (and extended) system.

    Type A (Augmented): dose-related, predictable from pharmacology, common, low mortality (e.g. bleeding on warfarin). Type B (Bizarre): idiosyncratic, not dose-related, unpredictable, higher mortality (e.g. anaphylaxis). Extended types: C chronic, D delayed, E end-of-treatment/withdrawal, F failure of therapy.

  33. What are the legal requirements for a Schedule 2 controlled drug prescription?

    It must include (handwriting no longer required but) the drug name, form, strength, total quantity in both words and figures, dose, patient's name and address, prescriber's signature and date. CD prescriptions are valid for 28 days, and a maximum 30-day supply is recommended.

  34. State key principles of safe opioid prescribing for chronic non-cancer pain.

    Use the lowest effective dose; risk of harm rises substantially above $120\,\text{mg}$ oral morphine equivalent per day with little extra benefit; review regularly; avoid combining with benzodiazepines/gabapentinoids; agree goals and an exit strategy; and recognise opioids are often ineffective for chronic pain.

  35. What is polypharmacy, and what is deprescribing?

    Polypharmacy is the concurrent use of multiple medicines (often defined as $\geq 5$); 'problematic' polypharmacy is when harm outweighs benefit. Deprescribing is the planned, supervised process of dose reduction or stopping of medicines that may be causing harm or no longer benefiting the patient.

  36. Name validated tools used to review and rationalise medicines in older adults.

    STOPP/START criteria (Screening Tool of Older People's Prescriptions / Screening Tool to Alert to Right Treatment) and the Beers criteria identify potentially inappropriate medications and prescribing omissions in older adults; a structured medication review applies them.

  37. What is the Yellow Card Scheme and what should be reported?

    The Yellow Card Scheme is the MHRA's system for reporting suspected adverse drug reactions, defective/falsified medicines, and device or vaccine problems. Report all suspected ADRs for newer drugs marked with a black triangle ($\blacktriangledown$), and all serious reactions for established drugs, even if causation is uncertain.

  38. How is NHS general practice contracted and commissioned in England?

    GP practices hold one of three contracts: GMS (General Medical Services, nationally negotiated), PMS (Personal Medical Services, locally agreed), or APMS (Alternative Provider Medical Services). Since 2022, Integrated Care Systems/Boards commission services, with practices grouped into Primary Care Networks; the Quality and Outcomes Framework (QOF) provides incentive payments.

Membership of the Royal College of General Practitioners (MRCGP) Applied Knowledge Test (AKT): Evidence, Administration and Health Informatics FAQ

What is in the Membership of the Royal College of General Practitioners (MRCGP) Applied Knowledge Test (AKT): Evidence, Administration and Health Informatics syllabus?

Membership of the Royal College of General Practitioners (MRCGP) Applied Knowledge Test (AKT): Evidence, Administration and Health Informatics is split into 4 chapters: Critical Appraisal and Evidence-Based Practice, Health Informatics and Data in Primary Care, Practice Organisation and Regulatory Frameworks and Prescribing, Pharmacology and Therapeutics. Together they contain 22 topics and 18 sub-topics.

How many chapters are in Membership of the Royal College of General Practitioners (MRCGP) Applied Knowledge Test (AKT): Evidence, Administration and Health Informatics?

4 chapters, containing 22 topics and 18 sub-topics. The largest chapter is Critical Appraisal and Evidence-Based Practice, with 6 topics.

Are there flashcards for Membership of the Royal College of General Practitioners (MRCGP) Applied Knowledge Test (AKT): Evidence, Administration and Health Informatics?

Yes — a 58-card Applied Knowledge Test (AKT): Evidence, Administration and Health Informatics deck, printed in full in the flashcards section of this page and available in the Examius app with spaced repetition. The free plan covers one exam of your choice, including its flashcards; Examius Pro, a one-time purchase, unlocks every other exam and deck.